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EGG2017: Innovate. Get Ahead. Disrupt. And Embrace Non-Conformity.


On November 30th 2017, there’s a new kind of data science & analytics conference: EGG2017, Dataiku’s first large-scale data science and analytics conference in New York, NY.



On November 30th 2017, there’s a new kind of data science & analytics conference: EGG2017, Dataiku’s first large-scale data science and analytics conference in New York, NY.  EGG2017 is about breaking free from what's always been done and enabling what's new. Get real-world examples and insights on developing data-driven organizations from industry-leading players including:  

  • Walid Mehanna - Head of Data & Analytics Mercedes-Benz Cars @ Daimler AG
  • Chris Kakkanatt - Data Science Team lead @ Pfizer
  • Mayur Thakur - Managing Director @ Goldman Sachs

EGG2017

EGG2017 aims to bring together pioneers and visionaries of the data ecosystem to welcome and accelerate the next generation of truly data-driven decision making for the enterprise.

What to Expect?

This isn’t just any corporate data science or analytics conference - after all, it’s named it EGG.

Why EGG? Because we pride ourselves on breaking free from conventionality.

Specifically, EGG2017 will be about:

  • Real use cases from real data teams at real companies, from startups to large enterprises and Fortune 500s.
  • Bringing together leaders in analytics, data science, and machine learning.
  • Best practices of productive and scalable data teams across industries.
  • Practical insight and concrete next steps to going from raw data to insights and predictions.

Has Your Interest Been Piqued?

Great! Here’s some high-level logistical details. You can also find more on the EGG2017 site.

November 30, 2017
Day-long event (8:30 a.m. to 6:30 p.m.)
In New York City

Agenda:

Morning sessions and panel discussions by Fortune 100 Industry Leaders on scaling data analytics across the enterprise.

Afternoon sessions in two separate tracks:

  • Track one: Data Science for Experts: Attendees will deep dive into topics running from Infrastructure and Security to automation and AI to Graph Analytics and Deep Learning.
  • Track Two: When Data Science & Business Collide: Sessions here will explore real-life business applications in marketing, retail, banking, insurance, and manufacturing.

If you’d like attend, sponsor, or partner with the event please visit Egg2017.


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